Statistical shape modelling reveals large and distinct subchondral bony differences in osteoarthritic knees

Joseph T. Lynch, Marco T.Y. Schneider, Diana M. Perriman, Jennie M. Scarvell, Mark R. Pickering, Md Asikuzzaman, Catherine R. Galvin, Thor F. Besier, Paul N. Smith

Research output: Contribution to journalArticle

Abstract

Knee osteoarthritis (OA) results in changes such as joint-space narrowing and osteophyte formation. Radiographic classification systems group patients by the presence or absence of these gross anatomical features but are poorly correlated to function. Statistical-shape modelling (SSM) can detect subtle differences in 3D-bone geometry, providing an opportunity for accurate predictive models. The aim of this study was to describe and quantify the main modes of shape variation which distinguish end-stage OA from asymptomatic knees. Seventy-six patients with OA and 77 control participants received a CT of their knee. 3D models of the joint were created by manual segmentation. A template mesh was fitted to all meshes and rigidly aligned resulting in a set of correspondent meshes. Principal Component Analysis (PCA) was performed to create the SSM. Logistic regression was performed on the PCA weights to distinguish morphological features of the two groups. The first 7 modes of the SSM captured >90% shape variation with 6 modes best distinguishing between OA and asymptomatic knees. OA knees displayed sub-chondral bone expansion particularly in the condyles and posterior medial tibial plateau of up to 10 mm. The model classified the two groups with 95% accuracy, 96% sensitivity, 94% specificity, and 97% AUC. There were distinct features which differentiated OA from asymptomatic knees. Further research will elucidate how magnitude and location of shape changes in the knee influence clinical and functional outcomes.

Original languageEnglish
Pages (from-to)177-184
Number of pages8
JournalJournal of Biomechanics
Volume93
Early online date10 Jul 2019
DOIs
Publication statusPublished - Jul 2019

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Knee Osteoarthritis
Knee
Principal component analysis
Bone
Principal Component Analysis
Bone and Bones
Joints
Logistics
Osteophyte
Geometry
Osteoarthritis
Area Under Curve
Cartilage
Logistic Models
Weights and Measures
Sensitivity and Specificity
Research

Cite this

Lynch, J. T., Schneider, M. T. Y., Perriman, D. M., Scarvell, J. M., Pickering, M. R., Asikuzzaman, M., ... Smith, P. N. (2019). Statistical shape modelling reveals large and distinct subchondral bony differences in osteoarthritic knees. Journal of Biomechanics, 93, 177-184. https://doi.org/10.1016/j.jbiomech.2019.07.003
Lynch, Joseph T. ; Schneider, Marco T.Y. ; Perriman, Diana M. ; Scarvell, Jennie M. ; Pickering, Mark R. ; Asikuzzaman, Md ; Galvin, Catherine R. ; Besier, Thor F. ; Smith, Paul N. / Statistical shape modelling reveals large and distinct subchondral bony differences in osteoarthritic knees. In: Journal of Biomechanics. 2019 ; Vol. 93. pp. 177-184.
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Lynch, JT, Schneider, MTY, Perriman, DM, Scarvell, JM, Pickering, MR, Asikuzzaman, M, Galvin, CR, Besier, TF & Smith, PN 2019, 'Statistical shape modelling reveals large and distinct subchondral bony differences in osteoarthritic knees', Journal of Biomechanics, vol. 93, pp. 177-184. https://doi.org/10.1016/j.jbiomech.2019.07.003

Statistical shape modelling reveals large and distinct subchondral bony differences in osteoarthritic knees. / Lynch, Joseph T.; Schneider, Marco T.Y.; Perriman, Diana M.; Scarvell, Jennie M.; Pickering, Mark R.; Asikuzzaman, Md; Galvin, Catherine R.; Besier, Thor F.; Smith, Paul N.

In: Journal of Biomechanics, Vol. 93, 07.2019, p. 177-184.

Research output: Contribution to journalArticle

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AU - Lynch, Joseph T.

AU - Schneider, Marco T.Y.

AU - Perriman, Diana M.

AU - Scarvell, Jennie M.

AU - Pickering, Mark R.

AU - Asikuzzaman, Md

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AU - Besier, Thor F.

AU - Smith, Paul N.

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